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Software engineering standards for epidemiological models.
Horner, Jack K; Symons, John F.
  • Horner JK; Department of Philosophy, University of Kansas, Lawrence, KS, USA. jhorner@cybermesa.com.
  • Symons JF; Department of Philosophy, University of Kansas, Lawrence, KS, USA.
Hist Philos Life Sci ; 42(4): 54, 2020 Nov 10.
Article in English | MEDLINE | ID: covidwho-917175
ABSTRACT
There are many tangled normative and technical questions involved in evaluating the quality of software used in epidemiological simulations. In this paper we answer some of these questions and offer practical guidance to practitioners, funders, scientific journals, and consumers of epidemiological research. The heart of our paper is a case study of the Imperial College London (ICL) covid-19 simulator, set in the context of recent work in epistemology of simulation and philosophy of epidemiology.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Software / Coronavirus Infections / Pandemics / Epidemiological Monitoring Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Hist Philos Life Sci Year: 2020 Document Type: Article Affiliation country: S40656-020-00347-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Software / Coronavirus Infections / Pandemics / Epidemiological Monitoring Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Hist Philos Life Sci Year: 2020 Document Type: Article Affiliation country: S40656-020-00347-6